Impact of PFMEA Implementation with Fuzzy Approach on Improving Overall Equipment Effectiveness in the Sugar Industry

Extended Abstract Abstract The purpose of this study was to investigate the effect of the implementation of the PFMEA on the improvement of the overall equipment effectiveness (OEE) in a sugar factory. First, the average Overall Equipment Effectiveness in the production process in eight consecutive working weeks was extracted as a pre-test. Then, the types of potential failures in the production process were identified and the three parameters of the severity of the failures, the probability of occurrence of the failures and the probability of failures detection for each failure mode were extracted in linguistic variable and determined by group discussion and by collective agreement and multiplied by corresponding numerical values These three parameters in each other, the number of priority numbers for each failure, was calculated. In the next step, 24 priority failures were identified by the severity-occurrence matrix and risk ranking table. Then, appropriate strategies for reducing the effects or eliminating prioritized failures were identified and implemented, corrective actions and necessary interventions were planned over a period of eight weeks. During the implementation of the interventions and at the end of each week, the Overall Equipment Effectiveness was calculated as a post-test. At the end of the study, the relationship between the risk priority number (RPN) and OEE was studied in the form of the Pearson correlation. Introduction Previous studies have shown that reducing or eliminating of failures, effects on machinery and equipment and increasing their availability, quality and performance will lead to improve the quality and quantity of products and services provided by various organizations (Hassan, Siadat, Dantan, & Martin, 2010; Helvacioglu & Ozen, 2014). Many techniques have been developed to identify, assess and manage the risks involved in various processes. FMEA is one of the most efficient of these techniques (Banduka, Mačužić, Stojkić, Bošnjak, & Peronja, 2016; Cândeaa, Kifor, & Constantinescu, 2014; Elahi, 2018). OEE, on the other hand, is one of the tools used to improve the efficiency of the manufacturing process. This simple and practical tool, identify major and common sources of production related losses and divides them into three main groups to improve equipment efficiency (Ahire & Relkar, 2012). The purpose of this research is to investigate the impact of PFMEA implementation on OEE in a sugar manufacturing company. Case st